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Maintenance PhD and MSc Thesis Award!
Smarter Together! Looking back on an inspiring World...
WCM Annual Event 2025 – Together with PrimaVera
PhD Defence Lisandro Jimenez Roa | Reliability and...
PhD Defence Ragnar Eggertsson | Advances in Asset...
PhD Defence Bram Ton | Point Taken –...
Bram Ton on Making Rail Maintenance More Sustainable...
Dr. Frans Oliehoek – Reinforcement Learning: State of...
Gwen Qin starts as a PhD student for...
Evie Hendriks Wins WCM Maintenance Award
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5G-RedCap Optimization

This product describes how to incorporate a throughput factor in existing Outer Loop Link Adaptations for a 35% better throughput, reduced transmission failures and lower control message overhead.

  • Enhances network performance for IIoT devices, which boosts efficiency for industrial maintenance operations.
  • Enables real-time data collection and analysis, supporting immediate maintenance actions and reducing equipment downtime.
  • Product will support increasingly complex, future IIoT ecosystems.
Category: Data Aquisition
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  • Description
  • Details
Performance, cost, and risk

What are the performance, cost, and risk impacts of implementing this product?

  • Performance: Enhances the throughput and reduces transmission failures of 5G-RedCap systems, enabling real-time data to inform PdM algorithms
  • Cost: Investements costs in 5G-RedCap devices and network upgrading costs
  • Risk: Integrating 5G-RedCap devices with existing infrastructure may face integration issues, devices with higher data rate requirements may be incompatible with 5G RedCap
Implementation requirements

What capabilities would a business/organization/institution need to have to implement this product?

  • Processes: Real-time data monitoring (5G) and assessment should be standard practice in the organization.
  • Resources: Comprehensive documentation of factory sensors, maintenance logs, and safety reports.
  • Competences: Demonstrated expertise in IIoT network management and cloud programming.
  • Technologies: 5G-RedCap systems, Outer Loop Link Adaptation algorithms, software and sensors that enable real-time monitoring.
Related works
  • Anbalagan, et al. (2023). VarOLLA: Maximizing Throughput for 5G-RedCap Devices in IIoT Networks
  • Anbalagan, et al. (2024). Fine Grained vs Coarse Grained Channel Quality Prediction: A 5G-RedCap Perspective for Industrial IoT Networks
Contact information

For further inquiries regarding this product, feel free to get in touch with:

  • Sabari Nathan Anbalagan, University of Twente. s [dot] n [dot] anbalagan [at] utwente [dot] nl
  • Alessandro Chiumento, University of Twente. a [dot] chiumento [at] utwente [dot] nl
Industry / demonstrator: Manufacturing

PrimaVera Framework: Data acquisition

Product Readiness (TRL): Discovery

Target Implementation Level: Equipment unit

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    • Product Readiness >
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